人工智能（MS）

集中你的激情

有四个重点领域, you are able to focus on the area of artificial intelligence research that meets your professional goals.

计算机科学

计算机科学 is a multi-faceted field of study that focuses on solving problems from different disciplines algorithmically. 这是人工智能建立的基础, 也是建立智能系统的必要条件. Choosing the 计算机科学 track will give a deeper look into both theoretical 和 applied concepts that are essential 为 of AI research 和 development. The track will focus on essential data structures 和 algorithms 和 will delve deeper into machine learning 和 deep learning.

计算语言学

计算语言学 has been both defined by 和 defining the algorithm classes that have been labelled Artificial Intelligence since the term was coined in 1956. 人类的智力主要表现在语言上, 促进思想外化和劳动分工, which in turn made us the singularly successful social species to carry the responsibility 为 this planet. The latest turn in AI development again rests on algorithmic processing of human thought in natural language, which is now the central tool 为 interacting with these “neural” large language models 和 为 making them interact with other “symbolic” knowledge bases the design principles of which computational linguists have engineered 为 decades. 语言学方面的选修课, you can become part of this engineering 为ce that operates current AI systems as well as design AI's future generations.

数学

Artificial Intelligence (AI) 和 its well-known branch of Machine Learning (ML) are rapidly developing fields gaining significant results in science, 医学, 和行业. 设计神经网络最常用的机器学习方法是梯度下降, 随机梯度下降, 亚当, 和改良的亚当. 这些方法是, 并使用微积分中的数学概念, 多变量微积分, 线性代数, 和矩阵理论. The electives offered by the Math track of the AI program will teach the fundamentals a student, 和 future neural network developer needs to underst和 the basic ML methods to become a competitive expert in the field.

心理学